Artificial intelligence based hybridization for economic power dispatch

Revenue loss is a major issue for any country. Conversion of this loss into utilization would prove to be a huge benefit to the country. In view of this fact, the economic load dispatch problem draws much attention. Substantial reduction in fuel cost could be obtained by the application of modern he...

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Main Authors: Kothuri Rama Krishna, Rajesh Kumar Samala
Format: Article
Language:English
Published: KeAi Communications Co. Ltd. 2023-01-01
Series:Cognitive Robotics
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2667241323000228
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author Kothuri Rama Krishna
Rajesh Kumar Samala
author_facet Kothuri Rama Krishna
Rajesh Kumar Samala
author_sort Kothuri Rama Krishna
collection DOAJ
description Revenue loss is a major issue for any country. Conversion of this loss into utilization would prove to be a huge benefit to the country. In view of this fact, the economic load dispatch problem draws much attention. Substantial reduction in fuel cost could be obtained by the application of modern heuristic optimization techniques for scheduling of the committed generator units. In this study, two cases are taken named three-unit system and six-unit system. The fuel cost for both systems compared using conventional lambda-iteration method and PSO method. These calculations are done for without transmission loss as well as with transmission losses. In the end, the fuel cost for both methods compared to analyze the better one from them. All the analyses are executed in MATLAB environment.
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spelling doaj.art-38354bb64aef4984b17b19b49bd5f5032023-09-23T05:13:18ZengKeAi Communications Co. Ltd.Cognitive Robotics2667-24132023-01-013218225Artificial intelligence based hybridization for economic power dispatchKothuri Rama Krishna0Rajesh Kumar Samala1Department of Electrical and Electronics Engineering, BVRIT, Hyderabad, Telangana, IndiaATLAS SkillTech University, Mumbai, Maharashtra, India; Corresponding author.Revenue loss is a major issue for any country. Conversion of this loss into utilization would prove to be a huge benefit to the country. In view of this fact, the economic load dispatch problem draws much attention. Substantial reduction in fuel cost could be obtained by the application of modern heuristic optimization techniques for scheduling of the committed generator units. In this study, two cases are taken named three-unit system and six-unit system. The fuel cost for both systems compared using conventional lambda-iteration method and PSO method. These calculations are done for without transmission loss as well as with transmission losses. In the end, the fuel cost for both methods compared to analyze the better one from them. All the analyses are executed in MATLAB environment.http://www.sciencedirect.com/science/article/pii/S2667241323000228Economic power dispatchALOFLC
spellingShingle Kothuri Rama Krishna
Rajesh Kumar Samala
Artificial intelligence based hybridization for economic power dispatch
Cognitive Robotics
Economic power dispatch
ALO
FLC
title Artificial intelligence based hybridization for economic power dispatch
title_full Artificial intelligence based hybridization for economic power dispatch
title_fullStr Artificial intelligence based hybridization for economic power dispatch
title_full_unstemmed Artificial intelligence based hybridization for economic power dispatch
title_short Artificial intelligence based hybridization for economic power dispatch
title_sort artificial intelligence based hybridization for economic power dispatch
topic Economic power dispatch
ALO
FLC
url http://www.sciencedirect.com/science/article/pii/S2667241323000228
work_keys_str_mv AT kothuriramakrishna artificialintelligencebasedhybridizationforeconomicpowerdispatch
AT rajeshkumarsamala artificialintelligencebasedhybridizationforeconomicpowerdispatch